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Digital Twin in Supply Chain Management: A Comprehensive Bibliometric Review

In: Optimizing Supply Chains Through Digital Twins

Author

Listed:
  • Gulsah Hancerliogullari Koksalmis

    (University of Central Florida, Department of Industrial Engineering and Management Systems
    Istanbul Technical University, Faculty of Management, Department of Industrial Engineering)

  • Emrah Koksalmis

    (Turkish Air Force Academy, National Defense University, Department of Industrial Engineering)

Abstract

The incorporation of Digital Twin (DT) technology into Supply Chain Management (SCM) represents a paradigm shift, offering enhanced efficiency, resilience, and strategic insights for managing global supply networks. This study provides an extensive bibliometric analysis, highlighting key trends, research themes, influential authors, and leading institutions in this dynamic domain. The analysis utilizes a dataset of scholarly publications from 2014 to 2025, sourced from the Scopus database, a reliable repository for academic research. By employing bibliometric techniques such as co-citation analysis, bibliographic coupling, collaboration mapping, and keyword co-occurrence analysis, the study identifies pivotal contributors, prominent institutions, and impactful nations based on citation metrics. The findings offer a comprehensive overview of DT applications in SCM, equipping researchers, practitioners, and policymakers with actionable insights to leverage this technology for optimizing supply chain performance.

Suggested Citation

  • Gulsah Hancerliogullari Koksalmis & Emrah Koksalmis, 2025. "Digital Twin in Supply Chain Management: A Comprehensive Bibliometric Review," International Series in Operations Research & Management Science, in: Ghaith Rabadi & Bulent Soykan (ed.), Optimizing Supply Chains Through Digital Twins, chapter 0, pages 7-22, Springer.
    • Handle: RePEc:spr:isochp:978-3-032-08147-6_2
    DOI: 10.1007/978-3-032-08147-6_2
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